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University of California-Riverside

University of California-Riverside's course descriptions average 66.5 on the 100-to-0 ruler: clearly left of center. Across all 100 schools, the average is 67.5, so University of California-Riverside reads 1.0 points further right.

Liberal (100)center (50)Conservative (0)
University of California-Riverside: 66.5 (likely range 65.1 to 68.0) All 100 schools: 67.5 each other school in the comparison

Where its courses fall

3%Far left92–100
15%Left75–91
73%Center-left59–74
9%Center42–58
0%Center-right26–41
0%Right9–25
0%Far right0–8
118 plotted courses (the ones with a political framing). 100 = far left, 50 = the average American, 0 = far right.

See it for yourself

Underlined: words the model quoted from the description when we asked it, after scoring, to explain its score.

Furthest left

ETST 106 · Theory in Asian American Studies100

Ethnic & African American Studies

, 3 hours; term paper, 3 hours. Prerequisite(s): ETST 001 or ETST 001H or ETST 002 or ETST 002H or ETST 003 or ETST 004 or HIST 004 or ETST 005 or ETST 005H or ETST 007 or ETST 007H or ETST 008 or ETST 011 or ETST 012 or RLST 012 or ETST…

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ETST 231 · Racial Capitalism and the Black Radical Tradition92

Ethnic & African American Studies

, 3 hours; term paper, 2 hours; extra reading, 1 hour. Prerequisite(s): graduate standing; or consent of instructor. Examines race as a structural mechanism and ideological terrain that manifests inequalities foundational to capitalism.…

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ETST 243G · Racial and Racial-Colonial Genocide92

Ethnic & African American Studies

, 3 hours; activity, 3 hours; weekly writing assignments, 2 hours; biweekly presentations, 3 hours; final paper. Prerequisite(s): graduate standing; consent of instructor. Attempts to generate a radical conceptualization and theorization of…

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Furthest right

None. University of California-Riverside has 118 left-framed courses and not one right-framed course.

Why this number, in plain words

Political lean of course descriptions. Average Framing score (0 = far right, 50 = center, 100 = far left) of the scored courses in the group.

50 is the survey-anchored center of US adults on each issue (the "moderate" place of the ANES/GSS/PRRI seven-label ruler), not the cohort midpoint; scores above 50 read leftward, below 50 rightward.

Counted: courses with a Framing score (categories L/R/B/C). The likely range (95% interval) is 65.1 to 68.0; a comparison whose range overlaps this one is not a reliable difference.

  • Most course descriptions carry no political lean at all and are not in this average; the "share described from the left" view counts them.
  • Readings are of catalog description text, not of teaching, syllabi or individual professors.
University of California-Riverside by department (share of courses described from the left)
DepartmentLeft-framed shareCourses
Women's & Gender Studies37.6%93view
Ethnic & African American Studies26.2%126view
Sociology11.3%124view
Anthropology8.6%139view
Religious Studies5.5%109view
English & Comparative Literature4%225view
History3.3%184view
Economics1.7%115view
Philosophy1.4%74view
Art & Art History0%59view
Political Science0%121view
Psychology0%107view

Lean (mean Framing score) is not published per department within a school; only the left-framed share is. Department rows carry no interval.

Details: exact rows, definitions and method
NameMetricValue95% intervalnscored
University of California-Riversidemean_bias_score66.565.1 – 68.01,476118
All 100 schoolsmean_bias_score67.567.4 – 67.7124,29010,124
Formula
SUM(bias_score) / COUNT(bias_score)
Interval
normal approximation: mean +/- 1.96 * sd / sqrt(n), sample sd (n-1); undefined when n < 2
Model / prompt / snapshot
gpt-5.6-sol · r12 (2026-10-16-le49-r12) · 6df50b10
Metric caveats
Scored courses only (L/R/B/C); N and I carry no score and are excluded, so n here is smaller than the group's course count. Scores are model readings of catalog description text against a fixed anchored definition, not teaching or syllabi. The interval covers sampling noise in the mean only; it does not represent model reading error. Every value carries a `method` label: exact_rows or histogram_midpoint.

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